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Application of metabolomics in prediction of lymph node metastasis in papillary thyroid carcinoma

Authors
 Ji Won Seo  ;  Kyunghwa Han  ;  Jandee Lee  ;  Eun-Kyung Kim  ;  Hee Jung Moon  ;  Jung Hyun Yoon  ;  Vivian Youngjean Park  ;  Hyeon-Man Baek  ;  Jin Young Kwak 
Citation
 PLoS One, Vol.13(3) : e0193883, 2018 
Journal Title
 PLoS One 
Issue Date
2018
MeSH
Adolescent ; Adult ; Aged ; Tumor/analysis Biomarkers ; Papillary/chemistry/metabolism/*pathology Carcinoma ; Female ; Humans ; Lymphatic Metastasis ; Male ; *Metabolomics/methods ; Middle Aged ; Thyroid Neoplasms/chemistry/metabolism/*pathology ; Young Adult
Abstract
PURPOSE: The aim of this study was to find useful metabolites to predict lymph node (LN) metastasis in patients with papillary thyroid cancer (PTC) through a metabolomics approach and investigate the potential role of metabolites as a novel prognostic marker. MATERIALS AND METHODS: Fifty-two consecutive patients (median age: 41.5 years, range 15-74 years) were enrolled who underwent total thyroidectomy and central LN dissection with or without lateral LN dissection in Severance Hospital between October 2013 and July 2015. The study specimens were provided by the Severance Hospital Gene Bank, and consisted of PTC from each patient. The specimens were prepared for proton nuclear magnetic resonance (1H-NMR) spectroscopy. Spectral data by 1H-NMR spectroscopy were acquired, processed, and analyzed. Patients were grouped in three ways, according to the presence of LN metastasis, central LN metastasis and lateral LN metastasis. Chi-square test and the student t-test were used to analyze categorical variables and continuous variables, respectively. The Mann-Whitney U test was used for univariate analysis of metabolites. Orthogonal projections to latent structure discriminant analysis (OPLS-DA) was used for multivariate analysis to discriminate metabolic differences between the two groups. RESULTS: Among 52 patients, 32 had central LN metastasis and 19 had lateral LN metastasis. No clinical or histopathological characteristic was significantly different for all comparisons. On univariate analysis, no metabolite showed significant difference for all comparisons. On multivariate analysis, OPLS-DA did not discriminate the presence and absence of LN metastasis. Lactate was found to be the most promising metabolite. CONCLUSIONS: No metabolite could discriminate the presence of LN metastasis. However, lactate was found to be the most promising metabolite for discrimination. Further studies with larger sample sizes are needed to elucidate significant metabolites which can indicate the presence of LN metastasis in patients with PTC.
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DOI
10.1371/journal.pone.0193883
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
곽진영(Kwak, Jin Young) ORCID logo https://orcid.org/0000-0002-6212-1495
김은경(Kim, Eun-Kyung) ORCID logo https://orcid.org/0000-0002-3368-5013
문희정(Moon, Hee Jung) ORCID logo https://orcid.org/0000-0002-5643-5885
박영진(Park, Vivian Youngjean) ORCID logo https://orcid.org/0000-0002-5135-4058
서지원(Seo, Ji Won)
윤정현(Yoon, Jung Hyun) ORCID logo https://orcid.org/0000-0002-2100-3513
이잔디(Lee, Jan Dee) ORCID logo https://orcid.org/0000-0003-4090-0049
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/162238
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